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E = infer(Mdl,Y)
[E,U,V,logL]
= infer(Mdl,Y)
[E,U,V,logL]
= infer(Mdl,Y,Name,Value)
E = infer(Mdl,Y) infers residuals of a univariate regression model with ARIMA time series errors fit to response data Y.
[E,U,V,logL] = infer(Mdl,Y) additionally returns the unconditional disturbances U, the innovation variances V, and the loglikelihood objective function values logL.
[E,U,V,logL] = infer(Mdl,Y,Name,Value) returns the output arguments using additional options specified by one or more Name,Value pair arguments.
[1] Box, G. E. P., G. M. Jenkins, and G. C. Reinsel. Time Series Analysis: Forecasting and Control. 3rd ed. Englewood Cliffs, NJ: Prentice Hall, 1994.
[2] Davidson, R., and J. G. MacKinnon. Econometric Theory and Methods. Oxford, UK: Oxford University Press, 2004.
[3] Enders, W. Applied Econometric Time Series. Hoboken, NJ: John Wiley & Sons, Inc., 1995.
[4] Hamilton, J. D. Time Series Analysis. Princeton, NJ: Princeton University Press, 1994.
[5] Pankratz, A. Forecasting with Dynamic Regression Models. John Wiley & Sons, Inc., 1991.
[6] Tsay, R. S. Analysis of Financial Time Series. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc., 2005.